CobWeb多维模型:从OLAP到标签云

S. Alshomrani, J. Feki, Tarek Lefi, Omar Khrouf, Kaïs Khrouf
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引用次数: 0

摘要

Internet的发展正在不断地增加通过Web提供和交换的文档数量和数据量。这些文献资料是决策分析的有趣来源。因此,为决策者提供有效的工具来分析文档中包含的文本数据是至关重要的。本文首先对多维星系进行了扩展,提出了一种通用的多维模型“蛛网”。CobWeb致力于XML文档的OLAP(在线分析处理),并基于facet的概念。它旨在为决策者提供工具,以表达他们的分析查询以及适当的数据视图。其次,我们介绍了用于查询web多维文档仓库的MQF(基于facet的多维查询)软件原型。查询结果显示为多维表和标记云。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CobWeb multidimensional model: From OLAP to tag cloud
The development of Internet is permanently increasing the number of documents and the volumes of data available and exchanged through the Web. This documentary information constitutes an interesting source for the decision-making analysis. Therefore, it is essential to provide decision-makers with efficient tools to analyze the textual data enclosed in documents. In this paper, first we present a generic multidimensional model called “CobWeb”, which extends the multidimensional galaxy. CobWeb is dedicated to the OLAP (OnLine Analytical Processing) of XML documents, and based on the concept of facet. It aims to provide decision-makers with facilities in expressing their analytical queries along with an appropriate vision of the data. Secondly, we introduce our software prototype called MQF (Multidimensional Query based on Facets) for querying the CobWeb multidimensional document warehouse. Query results are displayed as multidimensional tables, and as a cloud of tags.
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